Senior Data Engineer, Blockchain
AUTHEO
part-time
Posted on:
Location Type: Remote
Location: Remote • 🌎 Anywhere in the World
Visit company websiteJob Level
Senior
Tech Stack
AirflowApacheETLIPFSKafkaMongoDBPostgresSparkWeb3
About the role
- Design end-to-end data pipelines using Apache Spark, Kafka, Airflow, and Trino
- Build pipelines for 200GB/s IPFS, Ceph, PostgreSQL, and MongoDB data flows
- Implement zero-ETL lakehouse analytics with 25μs query latencies
- Design streaming systems for 50B+ daily DePIN events via Kafka
- Integrate homomorphic encryption for exabyte-scale data security
- Ensure differential privacy (ε=0.5) for DePIN datasets
- Collaborate with AI/ML, blockchain, and security teams for integration
- Lead data architecture reviews for scalability and compliance
- Mentor engineers and contribute to open-source data components
- Publish at Spark+AI/Web3 Summit on data innovations
Requirements
- Bachelor’s/Master’s in Computer Science, Data Engineering, or equivalent
- 5+ years building petabyte-scale data pipelines for high-throughput systems
- Expertise in Spark, Kafka, Airflow, Trino, and IPFS/Ceph
- Proficiency in zk-proofs and compliance auditing
- Background in DeFi analytics or healthcare FHIR processing (preferred)
- Experience with open-source data tooling or multi-language SDKs (preferred)
- Contributions to blockchain data standards or patents (preferred)
Benefits
- Equity in Launch Legends, Autheo, and the WFO Creator Network
- Token allocations in the Autheo blockchain
- Salaried compensation expected to begin within 4 to 5 months
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Apache SparkKafkaAirflowTrinoIPFSCephPostgreSQLMongoDBzk-proofsdifferential privacy
Soft skills
collaborationmentoringleadership
Certifications
Bachelor’s in Computer ScienceMaster’s in Data Engineering